Robust multidisciplinary analysis and optimization for conceptual design of flexible aircraft under dynamic aeroelastic constraints
Robust multidisciplinary analysis and optimization for conceptual design of flexible aircraft under dynamic aeroelastic constraints
We present a computational framework for robust multidisciplinary design and optimization of flexible aircraft, suited for the conceptual design exploration phase. Constraints are representative of some dynamic aeroelastic effects, including flutter and gust-induced structural stresses. Uncertainties on wing structural parameters are considered, and reliability-based optimization under dynamic aeroelastic constraints is addressed by a Bayesian approach. This work details the implementation aspects, covering disciplinary software tools and the overall aircraft design suite, the optimization algorithm and the approach to propagate uncertainty efficiently. Results are thoroughly discussed for a
reference aircraft, which is optimized in the study with respect to a few wing parameters including aspect ratio. The proposed approach is compared to a conventional design methodology assuming a rigid airframe. We show that when applied to slender and flexible wings, the latter can produce dangerous non-conservative results, as its predictions are too optimistic both with respect to efficiency and to aeroelastic safety.
Aeroelasticity, Conceptual design, Flutter, Gust loads, MDAO, Overall aircraft design
Saporito, Marco
13c1def8-ba40-4f5e-9a0a-6cf7f60e1063
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Bartoli, Nathalie
2cfac8e2-24a5-4516-9f0f-33beae42adb2
Defoort, Sebastien
b0b97e23-ab19-42af-820f-a0e2ce447db4
July 2023
Saporito, Marco
13c1def8-ba40-4f5e-9a0a-6cf7f60e1063
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Bartoli, Nathalie
2cfac8e2-24a5-4516-9f0f-33beae42adb2
Defoort, Sebastien
b0b97e23-ab19-42af-820f-a0e2ce447db4
Saporito, Marco, Da Ronch, Andrea, Bartoli, Nathalie and Defoort, Sebastien
(2023)
Robust multidisciplinary analysis and optimization for conceptual design of flexible aircraft under dynamic aeroelastic constraints.
Aerospace Science and Technology, 138, [108349].
(doi:10.1016/j.ast.2023.108349).
Abstract
We present a computational framework for robust multidisciplinary design and optimization of flexible aircraft, suited for the conceptual design exploration phase. Constraints are representative of some dynamic aeroelastic effects, including flutter and gust-induced structural stresses. Uncertainties on wing structural parameters are considered, and reliability-based optimization under dynamic aeroelastic constraints is addressed by a Bayesian approach. This work details the implementation aspects, covering disciplinary software tools and the overall aircraft design suite, the optimization algorithm and the approach to propagate uncertainty efficiently. Results are thoroughly discussed for a
reference aircraft, which is optimized in the study with respect to a few wing parameters including aspect ratio. The proposed approach is compared to a conventional design methodology assuming a rigid airframe. We show that when applied to slender and flexible wings, the latter can produce dangerous non-conservative results, as its predictions are too optimistic both with respect to efficiency and to aeroelastic safety.
Text
AESCTE-D-22-03002_R2_clean
- Author's Original
Text
1-s2.0-S1270963823002468-main
- Version of Record
More information
Accepted/In Press date: 14 April 2023
e-pub ahead of print date: 20 April 2023
Published date: July 2023
Additional Information:
Publisher Copyright:
© 2023 The Author(s)
Keywords:
Aeroelasticity, Conceptual design, Flutter, Gust loads, MDAO, Overall aircraft design
Identifiers
Local EPrints ID: 477582
URI: http://eprints.soton.ac.uk/id/eprint/477582
ISSN: 1270-9638
PURE UUID: 826adf42-8a76-4e4a-96f8-db69a0d0bd76
Catalogue record
Date deposited: 08 Jun 2023 16:55
Last modified: 17 Mar 2024 03:32
Export record
Altmetrics
Contributors
Author:
Marco Saporito
Author:
Nathalie Bartoli
Author:
Sebastien Defoort
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics